code: def test_shrink_load_float(self):
      it = Tensor.randn(4).cast(dtypes.imagef((1, 1, 4))).realize()
      imgv = it.numpy()
      np.testing.assert_equal(imgv[0:2], it[0:2].numpy())
  
file_path: tinygrad/test/test_image_dtype.py
imports: import unittest
  import numpy
  from tinygrad import Device, dtypes, Tensor, Variable
  from tinygrad.dtype import ImageDType
  from tinygrad.features.image import to_image_idx
label_desc: Use image node_id 3 for calling the TestImageDType obj's underlying member method code with example usage: obj.test_shrink_load_float() without return types